{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:XPYZ5DITL5PAUYA372ZSNP3VTV","short_pith_number":"pith:XPYZ5DIT","canonical_record":{"source":{"id":"2202.11377","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-02-23T09:37:14Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"262db4ec0881c9582b883fbfae7cb1c1af610003c150631b859ca72823f43885","abstract_canon_sha256":"a5cdb639b6808d062a9546aa4181c6cf606e82678d473b2858c48d891472b161"},"schema_version":"1.0"},"canonical_sha256":"bbf19e8d135f5e0a601bfeb326bf759d7252cf5063d6e879249c1908fbfba969","source":{"kind":"arxiv","id":"2202.11377","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.11377","created_at":"2026-07-05T03:59:31Z"},{"alias_kind":"arxiv_version","alias_value":"2202.11377v1","created_at":"2026-07-05T03:59:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.11377","created_at":"2026-07-05T03:59:31Z"},{"alias_kind":"pith_short_12","alias_value":"XPYZ5DITL5PA","created_at":"2026-07-05T03:59:31Z"},{"alias_kind":"pith_short_16","alias_value":"XPYZ5DITL5PAUYA3","created_at":"2026-07-05T03:59:31Z"},{"alias_kind":"pith_short_8","alias_value":"XPYZ5DIT","created_at":"2026-07-05T03:59:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:XPYZ5DITL5PAUYA372ZSNP3VTV","target":"record","payload":{"canonical_record":{"source":{"id":"2202.11377","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-02-23T09:37:14Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"262db4ec0881c9582b883fbfae7cb1c1af610003c150631b859ca72823f43885","abstract_canon_sha256":"a5cdb639b6808d062a9546aa4181c6cf606e82678d473b2858c48d891472b161"},"schema_version":"1.0"},"canonical_sha256":"bbf19e8d135f5e0a601bfeb326bf759d7252cf5063d6e879249c1908fbfba969","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:59:31.453790Z","signature_b64":"JKwStOrlRtdqfc58OK1bZSZM17NaSkc7DRbhuqE1Js72NsEOGybWfGxaE4ezPcsl36NWofNUXQ2kGrOLGzc8AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bbf19e8d135f5e0a601bfeb326bf759d7252cf5063d6e879249c1908fbfba969","last_reissued_at":"2026-07-05T03:59:31.453285Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:59:31.453285Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2202.11377","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:59:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8IV2SYPST1TvHYFoN+x7Kx/7xVi7vv5Qe4xIaiR9GILLORmNU/SXZ/kpzb5uxZ32uYCMgAajTCV+kQPNubKvBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-15T00:26:54.533325Z"},"content_sha256":"3ab08d288f8ec34763ceb76af51daca7e6e3b180339e8971a275a9dbbdc6d94a","schema_version":"1.0","event_id":"sha256:3ab08d288f8ec34763ceb76af51daca7e6e3b180339e8971a275a9dbbdc6d94a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:XPYZ5DITL5PAUYA372ZSNP3VTV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multi-scale Sparse Representation-Based Shadow Inpainting for Retinal OCT Images","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"cs.CV","authors_text":"Hongshan Liu, Jiaxuan Li, Peiyao Jin, Yaoqi Tang, Yikai Su, Yufan Li, Yu Gan, Yuye Ling","submitted_at":"2022-02-23T09:37:14Z","abstract_excerpt":"Inpainting shadowed regions cast by superficial blood vessels in retinal optical coherence tomography (OCT) images is critical for accurate and robust machine analysis and clinical diagnosis. Traditional sequence-based approaches such as propagating neighboring information to gradually fill in the missing regions are cost-effective. But they generate less satisfactory outcomes when dealing with larger missing regions and texture-rich structures. Emerging deep learning-based methods such as encoder-decoder networks have shown promising results in natural image inpainting tasks. However, they ty"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.11377","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2202.11377/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:59:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ET6JGNdWS8ei3WH2EzWbaVw3D2IF/CUQLgy5Amp+5+HrOFVZGKvI7dz9Tmc02ckHb+8WSNtk9gGTUpiDde1QCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-15T00:26:54.533710Z"},"content_sha256":"91b1202700d83ddae38733930f987e159ff1a35dfae5ed62e20d037a4c889fb7","schema_version":"1.0","event_id":"sha256:91b1202700d83ddae38733930f987e159ff1a35dfae5ed62e20d037a4c889fb7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XPYZ5DITL5PAUYA372ZSNP3VTV/bundle.json","state_url":"https://pith.science/pith/XPYZ5DITL5PAUYA372ZSNP3VTV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XPYZ5DITL5PAUYA372ZSNP3VTV/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-15T00:26:54Z","links":{"resolver":"https://pith.science/pith/XPYZ5DITL5PAUYA372ZSNP3VTV","bundle":"https://pith.science/pith/XPYZ5DITL5PAUYA372ZSNP3VTV/bundle.json","state":"https://pith.science/pith/XPYZ5DITL5PAUYA372ZSNP3VTV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XPYZ5DITL5PAUYA372ZSNP3VTV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:XPYZ5DITL5PAUYA372ZSNP3VTV","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"a5cdb639b6808d062a9546aa4181c6cf606e82678d473b2858c48d891472b161","cross_cats_sorted":["eess.IV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-02-23T09:37:14Z","title_canon_sha256":"262db4ec0881c9582b883fbfae7cb1c1af610003c150631b859ca72823f43885"},"schema_version":"1.0","source":{"id":"2202.11377","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.11377","created_at":"2026-07-05T03:59:31Z"},{"alias_kind":"arxiv_version","alias_value":"2202.11377v1","created_at":"2026-07-05T03:59:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.11377","created_at":"2026-07-05T03:59:31Z"},{"alias_kind":"pith_short_12","alias_value":"XPYZ5DITL5PA","created_at":"2026-07-05T03:59:31Z"},{"alias_kind":"pith_short_16","alias_value":"XPYZ5DITL5PAUYA3","created_at":"2026-07-05T03:59:31Z"},{"alias_kind":"pith_short_8","alias_value":"XPYZ5DIT","created_at":"2026-07-05T03:59:31Z"}],"graph_snapshots":[{"event_id":"sha256:91b1202700d83ddae38733930f987e159ff1a35dfae5ed62e20d037a4c889fb7","target":"graph","created_at":"2026-07-05T03:59:31Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2202.11377/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Inpainting shadowed regions cast by superficial blood vessels in retinal optical coherence tomography (OCT) images is critical for accurate and robust machine analysis and clinical diagnosis. Traditional sequence-based approaches such as propagating neighboring information to gradually fill in the missing regions are cost-effective. But they generate less satisfactory outcomes when dealing with larger missing regions and texture-rich structures. Emerging deep learning-based methods such as encoder-decoder networks have shown promising results in natural image inpainting tasks. However, they ty","authors_text":"Hongshan Liu, Jiaxuan Li, Peiyao Jin, Yaoqi Tang, Yikai Su, Yufan Li, Yu Gan, Yuye Ling","cross_cats":["eess.IV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-02-23T09:37:14Z","title":"Multi-scale Sparse Representation-Based Shadow Inpainting for Retinal OCT Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.11377","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:3ab08d288f8ec34763ceb76af51daca7e6e3b180339e8971a275a9dbbdc6d94a","target":"record","created_at":"2026-07-05T03:59:31Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"a5cdb639b6808d062a9546aa4181c6cf606e82678d473b2858c48d891472b161","cross_cats_sorted":["eess.IV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-02-23T09:37:14Z","title_canon_sha256":"262db4ec0881c9582b883fbfae7cb1c1af610003c150631b859ca72823f43885"},"schema_version":"1.0","source":{"id":"2202.11377","kind":"arxiv","version":1}},"canonical_sha256":"bbf19e8d135f5e0a601bfeb326bf759d7252cf5063d6e879249c1908fbfba969","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bbf19e8d135f5e0a601bfeb326bf759d7252cf5063d6e879249c1908fbfba969","first_computed_at":"2026-07-05T03:59:31.453285Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:59:31.453285Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JKwStOrlRtdqfc58OK1bZSZM17NaSkc7DRbhuqE1Js72NsEOGybWfGxaE4ezPcsl36NWofNUXQ2kGrOLGzc8AA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:59:31.453790Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.11377","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3ab08d288f8ec34763ceb76af51daca7e6e3b180339e8971a275a9dbbdc6d94a","sha256:91b1202700d83ddae38733930f987e159ff1a35dfae5ed62e20d037a4c889fb7"],"state_sha256":"74480c5eb1ddf3495ca2e7cac2be4ad34b83dad9ddeebadad714ed287298aaec"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IPADTqGFnE85THRepoN6k9xf+x02mMPhUvTRQayJ30S1LKwzA95YaGI5QffYDTPsd4HMbd8WaNggmLxPya7UBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-15T00:26:54.535936Z","bundle_sha256":"e2ce984e921216b949fd3aa00080c7fd6fd2e61d11c20c3f4aee7d1b1dde6ee7"}}